IT security analysts

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with over 5 years of experience in Python, React, Cloud Services, and Generative AI (LLM, RAG, Agentic AI). The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment.

Must Have Skills

• Python (Fast API, Django REST Framework, Flask)
• React JS 
• Cloud Services (VM, Storage, Auth and Auth, Functions and Deployments) 
• Microservices , Serverless Architecture
• Docker, Container orchestration (Kubernetes)
• API Development & Integration
• Bitbucket or Git-based version control
• Agile/Kanban working model
• Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI.
• Basic understanding of Generative AI concepts and prompt engineering.

Good to Have Skills

• Experience with AI orchestration tools (Lang Chain, Llama Index, Semantic Kernel)
• Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI)
• API Testing Tools (Postman)
• CI/CD Pipelines
• Advanced Cloud Networking & Security
• Automation Testing (Playwright, Selenium) 

Preferred Personal Attributes

• Highly proactive and self-driven
• Smart problem solver with strong analytical ability
• Ability to work independently in ambiguous and complex scenarios
• Strong communication & stakeholder management skills
• Ownership mindset and willingness to handle multiple challenges at once

Key Responsibilities

Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React / Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Ensure clean architecture, maintainability, and code quality.
• Own development across the lifecycle—design, build, testing, deployment.
• Develop AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Build and optimize RAG pipelines, vector searches, embeddings, and agent workflows.
• Integrate vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent Assistants.
• Apply prompt engineering, fine-tuning, and model evaluation best practices.
• Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP.
• Design and implement serverless architectures, microservices, event-driven flows.
• Use Docker, CI/CD, and best DevOps practices.
• Ensure scalability, security, cost optimization, and reliability.

Collaboration & Leadership

• Comfortably handle ambiguity, break down problems, and deliver with ownership.
• Lead technical initiatives and mentor junior team members.
• Work closely with cross-functional teams in Agile/Kanban environments.

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Requirements:

• Strong in data structure and algorithms.
• Experience in Node.js, Express, API Design & DOM.
• Understanding of component based design or other design patterns.
• Experience with unit testing, integration testing & continuous integration.
• RDBMS and NoSQL databases preferably PostgreSQL, MongoDB.
• Good to have passion for investing.

React Native Developer Job Description

We are searching for a brilliant, flexible React Native Developer to create novel Android / IOS apps that meet the needs of our target audience.

To this end, the React Native Developer's Responsibilities include writing and proofreading code, liaising with coworkers within and outside of their department, and monitoring customers' feedback. Over time, you will also be required to create app updates.

To ensure success as an React Native Developer, you should demonstrate proficiency in one of the mainstream programming languages, and a sound understanding of the traditional product life cycle.

An exceptional React Native Developer will be fearless but respectful in the pursuit of excellence, continually striving to shape the
ways in which Android/ IOS apps impact the world around us.

React Native Developer Responsibilities:

Conceptualizing and formulating apps that are suitable for use on all types of Android/lOS devices.
Implementing measures to safeguard users' data.
Ensuring that the construction and presentation of your apps are congruent with the company's standards.
Proofreading your code and correcting mistakes before each app is released.
Collaborating with Ul and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order.

Job Description:

Job Title: AR Executive

Responsibilities

• Possess a gooderstanding of Revenue Cycle Management (US Medical Billing) for Providers.

• Managing denials and rejection

• Verifying eligibility and benefits.

• Possess good knowledge of HIPPA, CPT codes, ICD9/10, Appeals, denial management.

• Follow up with Insurance companies in the US for denied/unpaid claims.

• Review the Claim status & update

• Communicate effectively, via phone and email

• Evaluation of clinical documentation.

As a Client Partner for account receivables, you will be responsible for making calls to insurance companies to follow-up on pending claims. We are looking for people with excellent spoken English skills, preferably with experience in account receivables, and denial management processes.  

Skills and Responsibilities

 • Excellent in English Communication (verbal and written).

 Eligibility of Candidates

• Immediate joining

• Excellent in English Communication (verbal and written).

• Comfortable working in the night shift.

• Experienced candidates are welcome.

 Benefits

 • Friendly environment.

• Fixed shift.

• 5 days working

Job Description

• Develop p2p infrastructure systems to support blockchain interoperability
• Improve engineering standards, tooling, and processes
• Coding with concurrency, efficiency and scalability as primary motive
• Rigor on Unit testing, coverage and best practices
• Document systems, build runbooks, and automate those processes
• Being hands on by writing, testing, and deploying high-performance networking code.

Required qualifications

1+ years of experience in Golang, Strong knowledge of Go programming language, paradigms, constructs, and idioms, willingness to learn on the go, ability to write clean code, a strong sense of responsibility.

Tech Stack

Go, git, linux, bash, ability to work with Docker.

Nice to have

Experience developing in c++, cryptography and system software development experience,understanding of design patterns, understanding of operating systems, networks.